
from collections import deque




class 					lowerCamelCase__				:




	'''simple docstring'''




	def __init__(   self						:Any	,  a						:str	,  a						:int	,  a						:int		)						->					None:
								__UpperCamelCase      :  Optional[int]       =   process_name  # process name
								__UpperCamelCase      :  int       =   arrival_time  # arrival time of the process
								# completion time of finished process or last interrupted time
								__UpperCamelCase      :  Optional[Any]       =   arrival_time
								__UpperCamelCase      :  Dict       =   burst_time  # remaining burst time
								__UpperCamelCase      :  str       =   0  # total time of the process wait in ready queue
								__UpperCamelCase      :  int       =   0  # time from arrival time to completion time




class 					lowerCamelCase__				:




	'''simple docstring'''




	def __init__(   self						:Dict	,  a						:int	,  a						:list[int]	,  a						:deque[Process]	,  a						:int	,  )						->					None:
								# total number of mlfq's queues
								__UpperCamelCase      :  Optional[Any]       =   number_of_queues
								# time slice of queues that round robin algorithm applied
								__UpperCamelCase      :  List[str]       =   time_slices
								# unfinished process is in this ready_queue
								__UpperCamelCase      :  int       =   queue
								# current time
								__UpperCamelCase      :  List[Any]       =   current_time
								# finished process is in this sequence queue
								__UpperCamelCase      :  deque[Process]       =   deque()







	def   _lowerCamelCase							(   self						:List[Any]		)						->					list[str]:
								__UpperCamelCase      :  Dict       =   []
								for i in range(len(self.finish_queue		)		):
															sequence.append(self.finish_queue[i].process_name		)
								return sequence







	def   _lowerCamelCase							(   self						:Dict	,  a						:list[Process]		)						->					list[int]:
								__UpperCamelCase      :  Optional[Any]       =   []
								for i in range(len(a		)		):
															waiting_times.append(queue[i].waiting_time		)
								return waiting_times







	def   _lowerCamelCase							(   self						:List[Any]	,  a						:list[Process]		)						->					list[int]:
								__UpperCamelCase      :  List[str]       =   []
								for i in range(len(a		)		):
															turnaround_times.append(queue[i].turnaround_time		)
								return turnaround_times







	def   _lowerCamelCase							(   self						:Optional[Any]	,  a						:list[Process]		)						->					list[int]:
								__UpperCamelCase      :  List[Any]       =   []
								for i in range(len(a		)		):
															completion_times.append(queue[i].stop_time		)
								return completion_times







	def   _lowerCamelCase							(   self						:List[str]	,  a						:deque[Process]		)						->					list[int]:
								return [q.burst_time for q in queue]







	def   _lowerCamelCase							(   self						:int	,  a						:Process		)						->					int:
								process.waiting_time += self.current_time - process.stop_time
								return process.waiting_time







	def   _lowerCamelCase							(   self						:List[str]	,  a						:deque[Process]		)						->					deque[Process]:
								__UpperCamelCase      :  deque[Process]       =   deque()  # sequence deque of finished process
								while len(a		) != 0:
															__UpperCamelCase      :  int       =   ready_queue.popleft()  # current process

															# if process's arrival time is later than current time, update current time
															if self.current_time < cp.arrival_time:
																						self.current_time += cp.arrival_time

															# update waiting time of current process
															self.update_waiting_time(a		)
															# update current time
															self.current_time += cp.burst_time
															# finish the process and set the process's burst-time 0
															__UpperCamelCase      :  Union[str, Any]       =   0
															# set the process's turnaround time because it is finished
															__UpperCamelCase      :  int       =   self.current_time - cp.arrival_time
															# set the completion time
															__UpperCamelCase      :  Dict       =   self.current_time
															# add the process to queue that has finished queue
															finished.append(a		)

								self.finish_queue.extend(a		)  # add finished process to finish queue
								# FCFS will finish all remaining processes
								return finished







	def   _lowerCamelCase							(   self						:Tuple	,  a						:deque[Process]	,  a						:int		)						->					tuple[deque[Process], deque[Process]]:
								__UpperCamelCase      :  deque[Process]       =   deque()  # sequence deque of terminated process
								# just for 1 cycle and unfinished processes will go back to queue
								for _ in range(len(a		)		):
															__UpperCamelCase      :  Optional[Any]       =   ready_queue.popleft()  # current process

															# if process's arrival time is later than current time, update current time
															if self.current_time < cp.arrival_time:
																						self.current_time += cp.arrival_time

															# update waiting time of unfinished processes
															self.update_waiting_time(a		)
															# if the burst time of process is bigger than time-slice
															if cp.burst_time > time_slice:
																						# use CPU for only time-slice
																						self.current_time += time_slice
																						# update remaining burst time
																						cp.burst_time -= time_slice
																						# update end point time
																						__UpperCamelCase      :  List[Any]       =   self.current_time
																						# locate the process behind the queue because it is not finished
																						ready_queue.append(a		)
															else:
																						# use CPU for remaining burst time
																						self.current_time += cp.burst_time
																						# set burst time 0 because the process is finished
																						__UpperCamelCase      :  int       =   0
																						# set the finish time
																						__UpperCamelCase      :  Tuple       =   self.current_time
																						# update the process' turnaround time because it is finished
																						__UpperCamelCase      :  Union[str, Any]       =   self.current_time - cp.arrival_time
																						# add the process to queue that has finished queue
																						finished.append(a		)

								self.finish_queue.extend(a		)  # add finished process to finish queue
								# return finished processes queue and remaining processes queue
								return finished, ready_queue







	def   _lowerCamelCase							(   self						:int		)						->					deque[Process]:

								#  all queues except last one have round_robin algorithm
								for i in range(self.number_of_queues - 1		):
															__UpperCamelCase  ,		__UpperCamelCase      :  Union[str, Any]       =   self.round_robin(
															    self.ready_queue	,  self.time_slices[i]		)
								#  the last queue has first_come_first_served algorithm
								self.first_come_first_served(self.ready_queue		)

								return self.finish_queue


if __name__ == "__main__":
		import doctest

		lowercase    :   Dict						=			Process('P1', 0, 53)
		lowercase    :   Tuple						=			Process('P2', 0, 17)
		lowercase    :   Dict						=			Process('P3', 0, 68)
		lowercase    :   Tuple						=			Process('P4', 0, 24)
		lowercase    :   List[Any]						=			3
		lowercase    :   Any						=			[17, 25]
		lowercase    :   List[str]						=			deque([Pa, Pa, Pa, Pa])

		if len(time_slices) != number_of_queues - 1:
				raise SystemExit(0)

		doctest.testmod(extraglobs={'queue': deque([Pa, Pa, Pa, Pa])})

		lowercase    :   int						=			Process('P1', 0, 53)
		lowercase    :   Dict						=			Process('P2', 0, 17)
		lowercase    :   List[Any]						=			Process('P3', 0, 68)
		lowercase    :   Union[str, Any]						=			Process('P4', 0, 24)
		lowercase    :   Tuple						=			3
		lowercase    :   Union[str, Any]						=			[17, 25]
		lowercase    :   List[Any]						=			deque([Pa, Pa, Pa, Pa])
		lowercase    :   List[str]						=			MLFQ(number_of_queues, time_slices, queue, 0)
		lowercase    :   Union[str, Any]						=			mlfq.multi_level_feedback_queue()

		# print total waiting times of processes(P1, P2, P3, P4)
		print(
		    f"waiting time:\
        \t\t\t{MLFQ.calculate_waiting_time(mlfq, [Pa, Pa, Pa, Pa])}"
		)
		# print completion times of processes(P1, P2, P3, P4)
		print(
		    f"completion time:\
        \t\t{MLFQ.calculate_completion_time(mlfq, [Pa, Pa, Pa, Pa])}"
		)
		# print total turnaround times of processes(P1, P2, P3, P4)
		print(
		    f"turnaround time:\
        \t\t{MLFQ.calculate_turnaround_time(mlfq, [Pa, Pa, Pa, Pa])}"
		)
		# print sequence of finished processes
		print(
		    f"sequence of finished processes:\
        {mlfq.calculate_sequence_of_finish_queue()}"
		)

import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


lowercase    :   List[str]						=			logging.get_logger(__name__)




class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	def __init__(   self						:Dict	,  *a						:Tuple	,  **a						:List[Any]		)						->					None:
								warnings.warn(
								    "The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
								    " Please use PerceiverImageProcessor instead."	,  a	,  )
								super().__init__(*a	,  **a		)